|
|
|
|
|
Wangyang Li, Youzhen Xiang, Xiaochi Liu, Zijun Tang, Xin Wang, Xiangyang Huang, Hongzhao Shi, Mingjie Chen, Yujie Duan, Liaoyuan Ma, Shiyun Wang, Yifang Zhao, Zhijun Li and Fucang Zhang
Applying hyperspectral remote sensing technology to the prediction of soil moisture content (SMC) during the growth stage of soybean emerges as an effective approach, imperative for advancing the development of modern precision agriculture. This investig...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lina Zhou, Leijinyu Zhou, Hongbo Wu, Tingting Jing, Tianhao Li, Jinsheng Li, Lijuan Kong and Limei Chen
In order to monitor cadmium contamination in lettuce quickly, non-invasively, and accurately, and to understand the growth status of lettuce under cadmium pollution, lettuce was used as the test material to detect and analyze the visible?near-infrared re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jun Wu, Xinyi Sun, Lei Qu, Xilan Tian and Guangyu Yang
Recently, deep learning tools have made significant progress in hyperspectral image (HSI) classification. Most of existing methods implement a patch-based classification manner which may cause training test information leakage or waste labeled informatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Evgeniya Ermakova, Sergey Sysoev, Irina Tsyrendorzhieva, Alexander Mareev, Olga Maslova, Vladimir Shayapov, Eugene Maksimovskiy, Irina Yushina and Marina Kosinova
We report an investigation into 1,4-Bis-N,N-(trimethylsilyl)piperazine (BTMSP) as a novel precursor for the synthesis of silicon carbonitride films by chemical vapor deposition (CVD). The thermal stability, temperature dependence of vapor pressure and th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liang Zhong, Xueyuan Chu, Jiawei Qian, Jianlong Li and Zhengguo Sun
With the rapid development of China?s industrialization and urbanization, the problem of heavy metal pollution in soil has become increasingly prominent, seriously threatening the safety of the ecosystem and human health. The development of hyperspectral...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yue Yu, Haiye Yu, Xiaokai Li, Lei Zhang and Yuanyuan Sui
The information acquisition about potassium, which affects the quality and yield of crops, is of great significance for crop nutrient management and intelligent decision making in smart agriculture. This article proposes a method for predicting the rice ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ling Wu, Yuanjuan Gong, Xiaoping Bai, Wei Wang and Zhuo Wang
The nitrogen content is an important indicator affecting corn plants? growth status. Most of the standard hyperspectral imaging-based techniques for nondestructive detection of crop nitrogen content use a single feature as the input variable of the model...
ver más
|
|
|
|
|
|
|
|
|
|
|
César Padilla-Mendoza, Franklin Torres-Bejarano, Gabriel Campo-Daza and Luis Carlos González-Márquez
This research demonstrated the feasibility of applying Sentinel-2 images to generate empirical models and estimate physicochemical parameters concentration, particularly nutrients in the wetland system called Bajo Sinú wetlands complex, Colombia. Spearma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jinwook Lee, Geonsoo Moon, Jiho Lee, Changhyun Jun and Jaeyong Choi
This study was aimed at exploring different indices to quantify flow fluctuations and calculate long-term flow indicators (L-FFI). Three approaches were considered to calculate the indicators: Method (1)?calculate the annual index and then average it; Me...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yayu Yang, Kun Shang, Chenchao Xiao, Changkun Wang and Hongzhao Tang
Estimation of soil organic matter content (SOMC) is essential for soil quality evaluation. Compared with traditional multispectral remote sensing for SOMC mapping, the distribution of SOMC in a certain area can be obtained quickly by using hyperspectral ...
ver más
|
|
|
|
|
|